python-xarray/python-xarray.spec

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#
# spec file for package python-xarray
#
# Copyright (c) 2021 SUSE LLC
#
# All modifications and additions to the file contributed by third parties
# remain the property of their copyright owners, unless otherwise agreed
# upon. The license for this file, and modifications and additions to the
# file, is the same license as for the pristine package itself (unless the
# license for the pristine package is not an Open Source License, in which
# case the license is the MIT License). An "Open Source License" is a
# license that conforms to the Open Source Definition (Version 1.9)
# published by the Open Source Initiative.
Accepting request 638355 from devel:languages:python:numeric - update to version 0.10.9: * Enhancements + differentiate() and differentiate() are newly added. (GH1332) By Keisuke Fujii. + Default colormap for sequential and divergent data can now be set via set_options() (GH2394) By Julius Busecke. + min_count option is newly supported in sum(), prod() and sum(), and prod(). (GH2230) By Keisuke Fujii. + plot() now accepts the kwargs xscale, yscale, xlim, ylim, xticks, yticks just like Pandas. Also xincrease=False, yincrease=False now use matplotlib’s axis inverting methods instead of setting limits. By Deepak Cherian. (GH2224) + DataArray coordinates and Dataset coordinates and data variables are now displayed as a b … y z rather than a b c d …. (GH1186) By Seth P. + A new CFTimeIndex-enabled cftime_range() function for use in generating dates from standard or non-standard calendars. By Spencer Clark. + When interpolating over a datetime64 axis, you can now provide a datetime string instead of a datetime64 object. E.g. da.interp(time='1991-02-01') (GH2284) By Deepak Cherian. + A clear error message is now displayed if a set or dict is passed in place of an array (GH2331) By Maximilian Roos. + Applying unstack to a large DataArray or Dataset is now much faster if the MultiIndex has not been modified after stacking the indices. (GH1560) By Maximilian Maahn. + You can now control whether or not to offset the coordinates when using the roll method and the current behavior, coordinates rolled by default, raises a deprecation warning unless OBS-URL: https://build.opensuse.org/request/show/638355 OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-xarray?expand=0&rev=5
2018-10-01 08:17:06 +02:00
# Please submit bugfixes or comments via https://bugs.opensuse.org/
#
%{?!python_module:%define python_module() python3-%{**}}
%define skip_python2 1
# NEP 29: Numpy 1.20 dropped support for Python 3.6, python36-numpy is removed from Tumbleweed. xarray will follow on next release
%define skip_python36 1
Name: python-xarray
- remove xarray-pr5449-dask-meta.patch, merged upstream. - remove test_resample_loffset.patch, merged upstream. - update to version 0.19.0: - This release brings improvements to plotting of categorical data, the ability to specify how attributes: - are combined in xarray operations, a new high-level :py:func:`unify_chunks` function, as well as various: - deprecations, bug fixes, and minor improvements.: - Many thanks to the 29 contributors to this release!: - Andrew Williams, Augustus, Aureliana Barghini, Benoit Bovy, crusaderky, Deepak Cherian, ellesmith88,: - Elliott Sales de Andrade, Giacomo Caria, github-actions[bot], Illviljan, Joeperdefloep, joooeey, Julia Kent,: - Julius Busecke, keewis, Mathias Hauser, Matthias Göbel, Mattia Almansi, Maximilian Roos, Peter Andreas Entschev,: - Ray Bell, Sander, Santiago Soler, Sebastian, Spencer Clark, Stephan Hoyer, Thomas Hirtz, Thomas Nicholas.: - New Features: - Allow passing argument ``missing_dims`` to :py:meth:`Variable.transpose` and :py:meth:`Dataset.transpose` (:issue:`5550`, :pull:`5586`) By `Giacomo Caria <https://github.com/gcaria>`_. - Allow passing a dictionary as coords to a :py:class:`DataArray` (:issue:`5527`, reverts :pull:`1539`, which had deprecated this due to python's inconsistent ordering in earlier versions). By `Sander van Rijn <https://github.com/sjvrijn>`_. - Added :py:meth:`Dataset.coarsen.construct`, :py:meth:`DataArray.coarsen.construct` (:issue:`5454`, :pull:`5475`). By `Deepak Cherian <https://github.com/dcherian>`_. - Xarray now uses consolidated metadata by default when writing and reading Zarr stores (:issue:`5251`). By `Stephan Hoyer <https://github.com/shoyer>`_. - New top-level function :py:func:`unify_chunks`. By `Mattia Almansi <https://github.com/malmans2>`_. - Allow assigning values to a subset of a dataset using positional or label-based indexing (:issue:`3015`, :pull:`5362`). By `Matthias Göbel <https://github.com/matzegoebel>`_. - Attempting to reduce a weighted object over missing dimensions now raises an error (:pull:`5362`). By `Mattia Almansi <https://github.com/malmans2>`_. OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-xarray?expand=0&rev=56
2021-07-27 15:28:20 +02:00
Version: 0.19.0
Release: 0
Summary: N-D labeled arrays and datasets in Python
License: Apache-2.0
URL: https://github.com/pydata/xarray
Source: https://files.pythonhosted.org/packages/source/x/xarray/xarray-%{version}.tar.gz
# PATCH-FEATURE-UPSTREAM local_dataset.patch gh#pydata/xarray#5377 mcepl@suse.com
# fix xr.tutorial.open_dataset to work with the preloaded cache.
Patch0: local_dataset.patch
# PATCH-FIX-UPSTREAM scipy-interpolate.patch gh#pydata/xarray#5375 mcepl@suse.com
# Add missing import scipy.interpolate
Patch1: scipy-interpolate.patch
- update to version 0.15.0: - This release brings many improvements to xarray's documentation: our examples are now binderized notebooks (`click here <https://mybinder.org/v2/gh/pydata/xarray/master?urlpath=lab/tree/doc/examples/weather-data.ipynb>`_): - and we have new example notebooks from our SciPy 2019 sprint (many thanks to our contributors!).: - This release also features many API improvements such as a new: :py:class:`~core.accessor_dt.TimedeltaAccessor` and support for :py:class:`CFTimeIndex` in :py:meth:`~DataArray.interpolate_na`); as well as many bug fixes. - Breaking changes: - Bumped minimum tested versions for dependencies: - numpy 1.15 - pandas 0.25 - dask 2.2 - distributed 2.2 - scipy 1.3 - Remove ``compat`` and ``encoding`` kwargs from ``DataArray``, which have been deprecated since 0.12. (:pull:`3650`). Instead, specify the ``encoding`` kwarg when writing to disk or set the :py:attr:`DataArray.encoding` attribute directly. By `Maximilian Roos <https://github.com/max-sixty>`_. - :py:func:`xarray.dot`, :py:meth:`DataArray.dot`, and the ``@`` operator now use ``align="inner"`` (except when ``xarray.set_options(arithmetic_join="exact")``; :issue:`3694`) by `Mathias Hauser <https://github.com/mathause>`_. - New Features: - :py:meth:`DataArray.sel` and :py:meth:`Dataset.sel` now support :py:class:`pandas.CategoricalIndex`. (:issue:`3669`) By `Keisuke Fujii <https://github.com/fujiisoup>`_. - Support using an existing, opened h5netcdf ``File`` with :py:class:`~xarray.backends.H5NetCDFStore`. This permits creating an :py:class:`~xarray.Dataset` from a h5netcdf ``File`` that has been opened using other means (:issue:`3618`). By `Kai Mühlbauer <https://github.com/kmuehlbauer>`_. - Implement ``median`` and ``nanmedian`` for dask arrays. This works by rechunking OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-xarray?expand=0&rev=31
2020-02-01 16:13:57 +01:00
BuildRequires: %{python_module numpy >= 1.15}
BuildRequires: %{python_module numpy-devel >= 1.14}
- update to version 0.15.0: - This release brings many improvements to xarray's documentation: our examples are now binderized notebooks (`click here <https://mybinder.org/v2/gh/pydata/xarray/master?urlpath=lab/tree/doc/examples/weather-data.ipynb>`_): - and we have new example notebooks from our SciPy 2019 sprint (many thanks to our contributors!).: - This release also features many API improvements such as a new: :py:class:`~core.accessor_dt.TimedeltaAccessor` and support for :py:class:`CFTimeIndex` in :py:meth:`~DataArray.interpolate_na`); as well as many bug fixes. - Breaking changes: - Bumped minimum tested versions for dependencies: - numpy 1.15 - pandas 0.25 - dask 2.2 - distributed 2.2 - scipy 1.3 - Remove ``compat`` and ``encoding`` kwargs from ``DataArray``, which have been deprecated since 0.12. (:pull:`3650`). Instead, specify the ``encoding`` kwarg when writing to disk or set the :py:attr:`DataArray.encoding` attribute directly. By `Maximilian Roos <https://github.com/max-sixty>`_. - :py:func:`xarray.dot`, :py:meth:`DataArray.dot`, and the ``@`` operator now use ``align="inner"`` (except when ``xarray.set_options(arithmetic_join="exact")``; :issue:`3694`) by `Mathias Hauser <https://github.com/mathause>`_. - New Features: - :py:meth:`DataArray.sel` and :py:meth:`Dataset.sel` now support :py:class:`pandas.CategoricalIndex`. (:issue:`3669`) By `Keisuke Fujii <https://github.com/fujiisoup>`_. - Support using an existing, opened h5netcdf ``File`` with :py:class:`~xarray.backends.H5NetCDFStore`. This permits creating an :py:class:`~xarray.Dataset` from a h5netcdf ``File`` that has been opened using other means (:issue:`3618`). By `Kai Mühlbauer <https://github.com/kmuehlbauer>`_. - Implement ``median`` and ``nanmedian`` for dask arrays. This works by rechunking OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-xarray?expand=0&rev=31
2020-02-01 16:13:57 +01:00
BuildRequires: %{python_module pandas >= 0.25}
BuildRequires: %{python_module setuptools_scm}
BuildRequires: %{python_module setuptools}
BuildRequires: fdupes
BuildRequires: python-rpm-macros
- update to version 0.15.0: - This release brings many improvements to xarray's documentation: our examples are now binderized notebooks (`click here <https://mybinder.org/v2/gh/pydata/xarray/master?urlpath=lab/tree/doc/examples/weather-data.ipynb>`_): - and we have new example notebooks from our SciPy 2019 sprint (many thanks to our contributors!).: - This release also features many API improvements such as a new: :py:class:`~core.accessor_dt.TimedeltaAccessor` and support for :py:class:`CFTimeIndex` in :py:meth:`~DataArray.interpolate_na`); as well as many bug fixes. - Breaking changes: - Bumped minimum tested versions for dependencies: - numpy 1.15 - pandas 0.25 - dask 2.2 - distributed 2.2 - scipy 1.3 - Remove ``compat`` and ``encoding`` kwargs from ``DataArray``, which have been deprecated since 0.12. (:pull:`3650`). Instead, specify the ``encoding`` kwarg when writing to disk or set the :py:attr:`DataArray.encoding` attribute directly. By `Maximilian Roos <https://github.com/max-sixty>`_. - :py:func:`xarray.dot`, :py:meth:`DataArray.dot`, and the ``@`` operator now use ``align="inner"`` (except when ``xarray.set_options(arithmetic_join="exact")``; :issue:`3694`) by `Mathias Hauser <https://github.com/mathause>`_. - New Features: - :py:meth:`DataArray.sel` and :py:meth:`Dataset.sel` now support :py:class:`pandas.CategoricalIndex`. (:issue:`3669`) By `Keisuke Fujii <https://github.com/fujiisoup>`_. - Support using an existing, opened h5netcdf ``File`` with :py:class:`~xarray.backends.H5NetCDFStore`. This permits creating an :py:class:`~xarray.Dataset` from a h5netcdf ``File`` that has been opened using other means (:issue:`3618`). By `Kai Mühlbauer <https://github.com/kmuehlbauer>`_. - Implement ``median`` and ``nanmedian`` for dask arrays. This works by rechunking OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-xarray?expand=0&rev=31
2020-02-01 16:13:57 +01:00
Requires: python-numpy >= 1.15
Requires: python-pandas >= 0.25
Provides: python-xray = %{version}
Obsoletes: python-xray < %{version}
BuildArch: noarch
Suggests: python-dask-all
# SECTION extras accel
Recommends: python-scipy >= 1.3
Recommends: python-bottleneck
Recommends: python-numbagg
# /SECTION
# SECTION extras viz
Suggests: python-matplotlib
Suggests: python-seaborn
Suggests: python-nc-time-axis
#/SECTION
# SECTION extras io
Suggests: python-netCDF4
Suggests: python-h5netcdf
Suggests: python-scipy
Suggests: python-pydap
Suggests: python-zarr
Suggests: python-fsspec
Suggests: python-cftime
Suggests: python-rasterio
Suggests: python-cfgrib
#/SECTION
# SECTION tests
BuildRequires: %{python_module dask-dataframe}
BuildRequires: %{python_module pooch}
BuildRequires: %{python_module pytest-xdist}
BuildRequires: %{python_module pytest}
BuildRequires: %{python_module scipy}
# /SECTION
%python_subpackages
%description
xarray (formerly xray) is a python-pandas-like and pandas-compatible
toolkit for analytics on multi-dimensional arrays. It provides
N-dimensional variants of the python-pandas labeled data structures,
rather than the tabular data that pandas uses.
The Common Data Model for self-describing scientific data is used.
The dataset is an in-memory representation of a netCDF file.
%prep
%autosetup -p1 -n xarray-%{version}
- update to version 0.15.0: - This release brings many improvements to xarray's documentation: our examples are now binderized notebooks (`click here <https://mybinder.org/v2/gh/pydata/xarray/master?urlpath=lab/tree/doc/examples/weather-data.ipynb>`_): - and we have new example notebooks from our SciPy 2019 sprint (many thanks to our contributors!).: - This release also features many API improvements such as a new: :py:class:`~core.accessor_dt.TimedeltaAccessor` and support for :py:class:`CFTimeIndex` in :py:meth:`~DataArray.interpolate_na`); as well as many bug fixes. - Breaking changes: - Bumped minimum tested versions for dependencies: - numpy 1.15 - pandas 0.25 - dask 2.2 - distributed 2.2 - scipy 1.3 - Remove ``compat`` and ``encoding`` kwargs from ``DataArray``, which have been deprecated since 0.12. (:pull:`3650`). Instead, specify the ``encoding`` kwarg when writing to disk or set the :py:attr:`DataArray.encoding` attribute directly. By `Maximilian Roos <https://github.com/max-sixty>`_. - :py:func:`xarray.dot`, :py:meth:`DataArray.dot`, and the ``@`` operator now use ``align="inner"`` (except when ``xarray.set_options(arithmetic_join="exact")``; :issue:`3694`) by `Mathias Hauser <https://github.com/mathause>`_. - New Features: - :py:meth:`DataArray.sel` and :py:meth:`Dataset.sel` now support :py:class:`pandas.CategoricalIndex`. (:issue:`3669`) By `Keisuke Fujii <https://github.com/fujiisoup>`_. - Support using an existing, opened h5netcdf ``File`` with :py:class:`~xarray.backends.H5NetCDFStore`. This permits creating an :py:class:`~xarray.Dataset` from a h5netcdf ``File`` that has been opened using other means (:issue:`3618`). By `Kai Mühlbauer <https://github.com/kmuehlbauer>`_. - Implement ``median`` and ``nanmedian`` for dask arrays. This works by rechunking OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-xarray?expand=0&rev=31
2020-02-01 16:13:57 +01:00
chmod -x xarray/util/print_versions.py
%build
%python_build
%install
%python_install
%python_expand %fdupes %{buildroot}%{$python_sitelib}
%check
if [ $(getconf LONG_BIT) -eq 32 ]; then
# precision errors on 32-bit
# for test_resample_loffset: https://github.com/pydata/xarray/issues/5341
donttest="((test_interpolate_chunk_advanced or test_resample_loffset) and linear)"
fi
%pytest -n auto ${donttest:+ -k "not ($donttest)"} xarray
%files %{python_files}
%doc README.rst
%license LICENSE licenses/
%{python_sitelib}/xarray
%{python_sitelib}/xarray-%{version}*-info
%changelog